Optimal control of heating furnace temperature based on fuzzy PID control with improved genetic algorithm

Ying Chen

doi:10.1117/12.3045242

30 September 2024 Optimal control of heating furnace temperature based on fuzzy PID control with improved genetic algorithm

Ying Chen

Author Affiliations +

Proceedings Volume 13286, Third International Conference on Electronics Technology and Artificial Intelligence (ETAI 2024); 1328613 (2024) https://doi.org/10.1117/12.3045242
Event: Third International Conference on Electronics Technology and Artificial Intelligence (ETAI 2024), 2024, Guangzhou, China

Abstract

Heating furnace is an important heating equipment in the modern industrial field, is a nonlinear, time-varying, hysteresis and strong coupling of the controlled object, the traditional PID control and fuzzy control theory based on fuzzy control of the rectification of the PID control method in the temperature control of the adaptability of the poor, the effect is not ideal. Based on the improvement of genetic algorithms of fuzzy PID control and the simulation comparison with the conventional PID, fuzzy PID, and achieve a better control effect.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Ying Chen "Optimal control of heating furnace temperature based on fuzzy PID control with improved genetic algorithm", Proc. SPIE 13286, Third International Conference on Electronics Technology and Artificial Intelligence (ETAI 2024), 1328613 (30 September 2024); https://doi.org/10.1117/12.3045242

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